Neural Network Implementation of Admission Control

Part of Advances in Neural Information Processing Systems 3 (NIPS 1990)

Bibtex Metadata Paper

Authors

Rodolfo Milito, Isabelle Guyon, Sara Solla

Abstract

A feedforward layered network implements a mapping required to control an unknown stochastic nonlinear dynamical system. Training is based on a novel approach that combines stochastic approximation ideas with back(cid:173) propagation. The method is applied to control admission into a queueing sys(cid:173) tem operating in a time-varying environment.